智能桨叶的实时模型与复合自适应振动控制

 研究了智能桨叶的实时模型、控制方法与控制器的实时实现。首先，采用MX滤波器实现了对桨叶动态特性的实时在线模拟，给出了该滤波器的系数与所描述的受控结构模态参数之间的相互关系。接着，提出了一种新的复合自适应控制方法，它综合了自适应前馈控制和反馈控制的特点，实现了对桨叶阻尼和振动响应的控制。最后，在所建立的以高速信号处理器为中心的实时数字仿真系统上，实现了对单频、双频及变频、变幅值谐和激励下桨叶振动的控制，获得了良好的振动控制效果。

ON REAL-TIME MODEL AND HYBRID ADAPTIVE VIBRATION CONTROL OF SMART ROTOR BLADES

The paper deals with the on line model, control strategy of smart rotor blades and controller realization. After the overview of the smart blade, a recursive MX filter is developed for simulating the dynamic features of smart blades, in which the coefficients have certain relationships with the rotor's natural frequencies and modal damping, etc. Then a new hybrid adaptive control strategy is presented. It combines an adaptive feedforward controller with a conventional feedback controller, and brings about the increase of the modal damping of the controlled blade and the cancellation of the disturbance response. Finally, two Motorola DSP56002EVM boards are used for constructing a real time simulation system, one for simulating the rotor dynamics, and the other control law. The dramatical reductions are obtained for the vibrations induced by single frequency, dual frequency, varied frequency and varied amplitude excitations.